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1. Consider the following transaction dataset, where each letter represents an item. TID 1 2 3 4 5 6 Items Bought N, E, W

1. Consider the following transaction dataset, where each letter represents an item. TID 1 2 3 4 5 6 Items

1. Consider the following transaction dataset, where each letter represents an item. TID 1 2 3 4 5 6 Items Bought N, E, W N, O, W W, E O, N, E O, W, N G, O (a) Assume that the minimum support is 30%. Use the Apriori algorithm to find all the frequent itemsets in the dataset. (b) Give two association rules which have a minimum confidence of 60%. (c) Give two itemsets which are closed frequent itemsets but not maximal frequent itemsets.

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